







どのようにサービスにディープラーニングを適用すればいいか、ベストプラクティスがまとまっていた論文があったので、訳してみました。 元論文 Best Practices for Applying Deep Learning to Novel Applications Le...
Machine Learning Glossary | Google for Developers
This glossary defines a wide range of machine learning terms, including those specific to TensorFlow and large language models.

出版取次の日販、米AI企業に書籍を大量販売か 業界団体が説明要求:朝日新聞
出版取次大手の日販グループホールディングスが米AI(人工知能)開発企業アンソロピックに大量の書籍を販売していたとして、日本の出版社約380社が所属する業界団体「日本書籍出版協会(書協)」が日販に事実…

How I use LLMs to learn complex topics · Laurentiu Raducu
LLMs are used for any things. Learning new things is one of the top use cases.

Deep learning-based electroencephalography analysis: a systematic review
CONTEXT: Electroencephalography (EEG) is a complex signal and can require several years of training, as well as advanced signal processing and feature extraction methodologies to be correctly interpreted. Recently, deep learning (DL) has shown great promise in helping make sense of EEG signals due to its capacity to learn good feature representations from raw data. Whether DL truly presents advantages as compared to more traditional EEG processing approaches, however, remains an open question. OBJECTIVE: In this work, we review 154 papers that apply DL to EEG, published between January 2010 and July 2018, and spanning different application domains such as epilepsy, sleep, brain-computer interfacing, and cognitive and affective monitoring. We extract trends and highlight interesting approaches from this large body of literature in order to inform future research and formulate recommendations. METHODS: Major databases spanning the fields of science and engineering were queried to identify relevant studies published in scientific journals, conferences, and electronic preprint repositories. Various data items were extracted for each study pertaining to (1) the data, (2) the preprocessing methodology, (3) the DL design choices, (4) the results, and (5) the reproducibility of the experiments. These items were then analyzed one by one to uncover trends. RESULTS: Our analysis reveals that the amount of EEG data used across studies varies from less than ten minutes to thousands of hours, while the number of samples seen during training by a network varies from a few dozens to several millions, depending on how epochs are extracted. Interestingly, we saw that more than half the studies used publicly available data and that there has also been a clear shift from intra-subject to inter-subject approaches over the last few years. About [Formula: see text] of the studies used convolutional neural networks (CNNs), while [Formula: see text] used recurrent neural networks (RNNs), most often with a total of 3-10 layers. Moreover, almost one-half of the studies trained their models on raw or preprocessed EEG time series. Finally, the median gain in accuracy of DL approaches over traditional baselines was [Formula: see text] across all relevant studies. More importantly, however, we noticed studies often suffer from poor reproducibility: a majority of papers would be hard or impossible to reproduce given the unavailability of their data and code. SIGNIFICANCE: To help the community progress and share work more effectively, we provide a list of recommendations for future studies and emphasize the need for more reproducible research. We also make our summary table of DL and EEG papers available and invite authors of published work to contribute to it directly. A planned follow-up to this work will be an online public benchmarking portal listing reproducible results.
懂中文 Dong Chinese - Learn Mandarin Chinese
Learn to read and write Mandarin Chinese in context through real example sentences, images, songs, and videos.

ARahim3/DigUp
Search your Mac by what's in your files: photos, PDFs, recordings, videos and code. On-device, built on Google DeepMind's EmbeddingGemma 2.
ベスト オブ 2019
三回忌をして、子供が生まれて、また仕事のチームを変えた一年だった。 本 Cal Newport “Digital Minimalism: Choosing a Focused Life in a Noisy World” “Deep Work” の Cal Newport の新刊。ライフスタイルとしてのミニマリ
登記・供託オンライン申請システム
登記・供託オンライン申請システムは、不動産登記、商業・法人登記、動産譲渡登記、債権譲渡登記、供託、成年後見登記及び電子公証に関する手続をオンラインにより申請するシステムです。
[書評] 不寛容論: アメリカが生んだ「共存」の哲学(森本あんり): 極東ブログ
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DeepSeek Harness v0.1 the idea is everything is a plugin — models, tools, sessions, skills, sandboxes, loops, … github.com/deepseek-ai/deepseek-harness
GitHub - deepseek-ai/deepseek-harness: DeepSeek Harness: Everything is a Plugin.
github.com